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Even GenAI uses Wikipedia as a source
Ryan is joined by Philippe Saade, the AI project lead at Wikimedia Deutschland, to dive into the Wikidata Embedding Project and how their team vectorized 30 million of Wikidata’s 119 million entries for semantic search.
Why Stack Overflow and Cloudflare launched a pay-per-crawl model
Inside the pay-per-crawl model colaunched by Stack Overflow and Cloudflare.
Mind the gap: Closing the AI trust gap for developers
Developer trust is synonymous with a willingness to deploy AI-generated code to production systems with minimal human review, as well as assurance that AI tools aren’t introducing unacceptable risks and technical debt that will burden you down the line.
Even your voice is a data problem
Recorded last December at AWS re:Invent, Ryan welcomes CEO and co-founder of Deepgram, Scott Stephenson, for a conversation on advancing voice AI technology.
How everyone and anyone can use AI for good
There are big hitters in the AI space that use this tech for humanitarian and environmental good—from start-ups fighting climate change to voice recognition experts diagnosing diseases. But you don't need to be backed by AWS or Microsoft to do good. In part two of this series, we dive into how anyone can use AI for good.
Is anyone using AI for good?
In a world where AI is replacing human workers, using up energy and water, and deepening disconnect, is AI for humanitarian good even possible? The answer is yes. In the first part of this two-part series, we're taking a look at just a few AI do-gooders and what they're doing to fight climate change, make healthcare more accessible, and help their communities.
The logos, ethos, and pathos of your LLMs
Ryan is joined by Professor Tom Griffiths, the head of Princeton University’s AI Lab, to dive into findings from his new book The Laws of Thought, which explores the history of the philosophy, mathematics, and logic that underlie artificial intelligence, and scientists' efforts to describe our minds using mathematics.
Why demand for code is infinite: How AI creates more developer jobs
Not only is there a future for software development, but we’re on the cusp of enormous demand for code developed by humans.
AI attention span so good it shouldn’t be legal
We have another two-for-one special this week, with two more interviews from the floor of re:Invent.
Code smells for AI agents: Q&A with Eno Reyes of Factory
Quality software still needs high-quality code, AI agents or not.
Generating text with diffusion (and ROI with LLMs)
Two guests for the price of one! This episode has two interviews recorded at AWS re:Invent back in December.
Scaling enterprise AI: lessons in governance and operating models from IBM
Successful implementation and scaling of enterprise AI projects is fundamentally a people and operating model challenge, not just a technology problem.
Are you learning with AI? We want to know about it!
We're running a survey to understand how people are using AI to learn and whether that's helping, hurting, and replacing tools.
Are bugs and incidents inevitable with AI coding agents?
What specific kind of bugs is AI more likely to generate? Do some categories of bugs show up more often? How severe are they? How is this impacting production environments?
Spy vs spy at scale
Ryan welcomes Anthony Vinci, former senior intelligence officer and author of The Fourth Intelligence Revolution, to explore AI’s evolving role in intelligence in places like translation and image analysis, the challenges of evolving modern tech into government infrastructure, and the importance of democratized intelligence so citizens can keep themselves and loved ones safe.
AI can 10x developers...in creating tech debt
Ryan sits down with Michael Parker, VP of Engineering at TurinTech to discuss the newest kind of tech debt—AI-generated tech debt. They dive into the uneven productivity results of AI tools, how tech teams are evolving their roles and work in response to these massive technological shifts, and what the nervous developer can do to maintain joy in their work.
Is that allowed? Authentication and authorization in Model Context Protocol
Learn how to protect MCP servers from unauthorized access and how authentication of MCP clients to MCP servers works.
Transforming enterprise workflows: How IBM is unlocking AI's potential
Learn how IBM deployed and integrated AI tools in the ultimate enterprise environment.
If you're a Zoomer, this one's for you: Everything Gen Z needs to know about the 2025 tech landscape
Here's the lowdown on all the tech from 2025 that you, dear Zoomer, should know about.
8 lessons from tech leadership on scaling teams and AI
What we learned from the first year of Leaders of Code.
Vibe code anything in a Hanselminute
Ryan welcomes back the mighty Scott Hanselman, VP of Developer Community at Microsoft, for a crossover episode about all things vibe coding.
You need quality engineers to turn AI into ROI
Pete Johnson, Field CTO, Artificial Intelligence at MongoDB, joins the podcast to say that looking at AI’s impact as a job killer is a flawed metric.
Search engine bots crawled so AI bots could run
Ryan hosts Akamai data scientist Robert Lester on the show to discuss how the growth of AI bots affects internet traffic, the ways these AI bots differ from the original search engine optimization ones, and why you might not want to mitigate AI bots on your websites.
The most dangerous shortcuts in software
Ryan sits down with Tom Totenberg, head of release automation at LaunchDarkly, to discuss the perils of taking too many shortcuts in software development, how business pressures and AI code tools have contributed to dangerous corner cutting, and the importance of balancing speed with sustainability to maintain system integrity.